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INDONESIA
INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 842 Documents
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CLUSTERIZATION OF DIABETES HEALTH INDICATORS WITH K-MEANS CLUSTER ALGORITHM Yuda Perwira; Wira Apriani; Ahmad Zein; Sinta Lia Alfaris
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Diabetes is one of the most common chronic diseases in the world, affecting millions of people every year and placing a significant financial burden on the economy. Diabetes is a serious chronic disease in which individuals lose the ability to effectively regulate blood glucose levels, and it can lead to decreased quality of life and life expectancy.The purpose of this study is to cluster diabetes health to be able to cluster quickly whether a person has diabetes, or prediabetes or is free from diabetes so that diabetes can be anticipated as early as possible. The data used in this study is the result of a survey from the US Behavioral Risk Factor Surveillance System (BRFSS) in 2015 which contains a net data collection of 253,680 survey responses to the CDC's 2015 BRFSS. The target variable Diabetes_012 has 3 classes. 0 for no diabetes or only during pregnancy, 1 for prediabetes, and 2 for diabetes.The method used in this study is the K-Means Clustering method where this method has been quite successful and is widely used by many researchers to cluster and predict, indicators of a person's diabetes health can be grouped into 3 groups, namely the health of people without diabetes, the health of people with prediabetes. and the health of people with type 2 diabetes, as for the results of the clustering of 2349 data, there are 235 people with health without diabetes, 1816 people with prediabetes health conditions and 298 people with type 2 diabetes.
WEBSITE DESIGN TO SUPPORT LEARNING SYSTEM IN PRIVATE SD PUTRI DELI NAMORAMBE Penda Sudarto Hasugian; Jijon Raphita Sagala
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Education is a process of communication and information from educators to students which contains information about education, which has elements of educators as sources of information, media as a means of presenting ideas, ideas and educational materials as well as students themselves, some elements of This approach gets a touch of information technology media, thus sparking the birth of the idea of ​​e-learning. Deli Namorambe Putri Private Elementary School is still carrying out the direct learning process, where the entire teaching and learning process between teachers and students can only be done with class meetings. If there is no meeting between students and teachers in the classroom, the learning process will not occur. This causes the delivery of material and assignments to be disrupted so that it can result in a lack of student understanding of a learning material. The development of this system uses the PHP programming language, xampp as a local web server on the computer. With this system, it can help teachers and students in the teaching and learning process so that it can be used to fill out attendance lists, upload teaching materials, download teaching materials, take quizzes, send assignments and exams.
MOORA METHOD FOR LECTURER RECOMMENDATIONS THESIS GUIDE Petti Indrayati Sijabat; Nuraisana Nuraisana; Endra AP Marpaung
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Achieving satisfaction in handling final student graduation is the most important situation to achieve service quality satisfaction in doing a service. Thesis is a student's scientific writing as one of the requirements for graduating from college, supporting the completion of the work involving a supervisor with the tasks of ensuring that it fits the topic with the main lesson in the thesis. Problems in the preparation of the thesis with several phenomena that occur, namely students cannot complete it on time according to important dates determined by the Study Program, Lecturers do not have sufficient competence on the topics raised by students, Determination of Supervisors is still focused on the quota that has been set. ensure without ascertaining whether the lecturer concerned is able to provide guidance on the topics provided. This study provides recommendations for study programs in determining text-based supervisors using the MOORA method, with the application that will be developed it can make it easier for study programs to determine thesis supervisors so that students can complete thesis on time because it involves supervisors who have competence in their fields.
AN ANALYSIS OF NETWORK EXPANSION TO REPAIR VOLTAGE DROPS ON SULUM FEEDER DISTRIBUTION NETWORK PT PLN (PERSERO) KUALA SIMPANG CUSTOMER SERVICE UNIT Fadly Rozeta; Hamdani Hamdani; Solly Aryza
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

In improving the voltage drop, PLN had tried several methods such as adding substations or commonly referred to as insertion substations, but the results are still unsatisfactory, current actions to maintain the quality of electricity distribution are being carried out by PT. PLN Persero Main Unit Aceh Region UP3 Langsa ULP Kuala Simpang is to expand a network by diverting the voltage source from the Pulo Tiga Substation which is 43 km from the Substation to the Terban Substation which is 12 km from the closer Substation so that it can change a voltage, which was initially small because at the end of the network it became much larger because it was at the base of the network which was close to the voltage source itself.Based on the data collected, the Sulum feeder experienced large enough voltage drop, namely 26.74% for the daytime peak load and 19.2% for the night peak load before switching the voltage source. After switching the voltage source, the value of the voltage drop is reduced to 3.6% for peak day loads and 4.1% for peak night loads
IMPLEMENTATION OF THE K-NEAREST NEIGHBOR METHOD IN KNOWING WATER QUALITY David Nico L Nainggolan; Eko Hariyanto; Arpan Arpan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The function of classification is the process carried out in predicting a data that has a class that is still unknown, the pattern that is owned is also already regular in a classification method. K-NN is a group that has an instances-based learning system, in conducting group searches by performing the value of k objects into the test with the closest value to the value of other data. KNN uses the closest distance value to the tested dataset in carrying out the classification process. Drinking water is very important for health and is a very effective component for the health of the human body. Health is very influential on the country's economy, it is necessary to invest in water that is very beneficial for the community. This study conducted a search for accuracy of water quality with data as many as 3276 different bodies of water in order to know which water can be drunk and not drinkable. The results of the accuracy of the KNN classification model that can increase the level of accuracy better for the data used. So the research on water quality has an accuracy of 56.40% with 370 data on drinkable water. Researchers hope that accuracy can be improved again by combining the optimization of the classification model in future studies
DESIGNING AND BUILDING APPLICATIONS FOR ORDERING DELIVERY OF GOODS AND LOGISTICS TO CUSTOMERS BASED ON ANDROID and WEBSITE ON NINJA XPRESS Defri Abdul Majid Nasution; Rio Septian Hardinata; Muhammad Syahputra Novelan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Delivery of goods is very often done every day. Customers who want to send goods to other places must deliver the goods to the place of delivery. Ninja Xpress is one of the shipping agents in Indonesia. The author designs and builds a system that can place orders for delivery of goods through the Android application. This order can be made at home so that customers do not need to come to the place of delivery of goods. Applications can make delivery orders to the delivery party. The goods will be picked up at the customer's house and the specifications related to the goods will be recorded. This system is very good for customers to use so they don't have to come directly to the place of delivery..goods, delivery, information system, express
AN ANALYSIS CAUSES OF LINE DISTURBANCE IN ELECTRICITY DISTRIBUTION IN PT. PLN (PERSERO), ULP EAST BINJAI Eky Firdian Fauzi; Siti Anisah; Hamdani Hamdani
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The distribution line is the section of the electricity line that is closest to the community; it is divided into two parts: primary and secondary distribution lines. PLN primary distribution voltages are 20 KV, 12 KV, and 6 KV. The primary distribution voltage that PLN typically produces is 20 kV. The purpose of this study is to use FTA to determine the main causes of disturbances in the electricity distribution line at ULP Binjai Timur (Fault Tree Analysis). The large difference between the electrical energy sent from the substation and the electrical energy obtained from customer consumption demonstrates the study's findings. The following are the causes of these disturbances: component JTM (I1) with as many as 55 faults (12.5 percent), JTM equipment (I2) with as many as 30 faults (6.7 percent), transformer faults (I3) with as many as 8 faults (1.8 percent), natural disturbances (I4) as many as 1 disturbance (0.2 percent), external disturbances (E1) as many as 15 disturbances (3 percent), natural disasters (E2) as many as 61 disturbances (13.7 percent), the work of other parties/animals (58.2 percent). After conducting research on the causes of disturbances in the electricity distribution line at ULP Binjai Timur and analyzing the data with Fault Tree Analysis (FTA), it was discovered that the main cause of disturbance is a human disturbance, manifested as kites, banners, and digging PDAM channels
THE EFFECT OF USING COLLABORATIVE STRATEGIC IN READING NARRATIVE TEXT AT SMA ADVENT 2 MEDAN Ricki Asi Erwindo Siahaan; Rani Rakasiwi; Masriani Mery Rosmida Silalahi
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Language is very important to all of people, because language is use for communication with other, without language we shall find difficulties to get something and communication with another people. it means that without comprehending the language, someone will get many difficulties in lives. The objective of the study is to find out what is the effect of using collaborative strategic in reading narrative text at SMA Advent 2 Medan. The scope the research is focus on students grade one at SMA Advent 2 Medan to improve their ability in reading comprehension on narrative text. The method uses in this research is quantitative research. Quantitative research is defined as a the systematic investigation phenomena by gathering. The pre-experimental research with one group pre and post-test design was used to conduct this study. In this research, the researcher used the pre-test and post-test to know the students’ achievement in their writing performance
ANALYSIS OF WLAN NETWORK HANDOVER PERFORMANCE USING RSSI AND THRESHOLD ON MOBILE DEVICES Mhd Ikhsan Rifki; Muhammad Ikhsan; Rini Halila Nasution; Dysa Handira
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Random user mobility on a WLAN network allows users to move away from the access point (AP) that serves them so it has an impact on the possibility of users losing connectivity to the communication network. This study aims to simulate handover performance at the Faculty of Science and Technology UIN North Sumatra to maintain network QoS by using the comparison method of RSSI AP1 and AP2 values ​​and comparing RSSI values ​​with Threshold values. The computational results on the RSSI comparison method with the threshold are carried out at a distance of 15 meters, and the comparison of the RSSI AP1 values ​​has dropped below the RSSI AP2 values ​​with values ​​of -64.35 dBm and -62.75 dBm respectively. Meanwhile, in the threshold method, the RSSI AP1 value is below the threshold so that the user connectivity service will be transferred to AP2. This research is expected so that the Faculty of Science and Technology can obtain information on the quality of WLAN network services through mobile devices.
STUDY OF BANK CAPACITOR NEEDS ANALYSIS OF POWER FACTOR IMPROVEMENT IN THE WATER INTAKE UNIT OF PT PUPUK ISKANDAR MUDA (PT PIM) Hari Bukti; Hamdani Hamdani; Siti Anisah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The used of an electric motor which is an inductive load will cause reactive power which can reduce the value of the power factor. This can have an impact on increasing the electric power bills charged to users due to the kVar pinalty given by PT PLN (Persero) as a power supplier company. This paper aims to analyze the need for a capacitor bank to improve the power factor of the PT PIM water intake unit. Based on the results of data analysis that has been carried out, it is found that the value of the power factor (Cosφ1) at the Water Intake Unit of PT PIM for the last six months has an average value of 0.76 so that a reactive power compensator from a capacitor bank of 154 kVar is needed to achieve a power factor of 0.85

Page 27 of 85 | Total Record : 842

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